liu.seSearch for publications in DiVA
Change search
ReferencesLink to record
Permanent link

Direct link
Global Vs Local: A Comparison of Two Approaches to Perform Diagnosis in Networks of Mechatronic Agents
Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.ORCID iD: 0000-0002-0248-8180
Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
Faculdade de Ciências e Tecnologia, FCT, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal.
2010 (English)In: Self-Adaptive and Self-Organizing Systems (SASO), 2010 4th IEEE International Conference on, IEEE , 2010, 84-93 p.Conference paper (Refereed)Text
Abstract [en]

Natural systems often exhibit, at a macro level, a tendency to order that emerges from simple and local interactions between the system components. This idea that the whole can denote a consistent behavior that is more than the sum of individual components has inspired the design and development of many artificial systems. Recently, with the pervasiveness of IT in the automation domain the application of such principles became interesting as a mean to developed seamlessly plug gable, robust and fault-tolerant mechatronic systems. These concepts, however, have been mainly applied from a control perspective. This paper argues the regulatory significance of diagnosis in such complex systems and discusses two strategies (fully centralized with global information and fully decentralized with local information) to perform a diagnostic analysis that explores the network dimension of future mechatronic systems.

Place, publisher, year, edition, pages
IEEE , 2010. 84-93 p.
National Category
Other Engineering and Technologies not elsewhere specified
Identifiers
URN: urn:nbn:se:liu:diva-125092DOI: 10.1109/SASO.2010.36ISBN: 978-1-4244-8537-6 (Print)ISBN: 978-0-7695-4232-4 (Online)OAI: oai:DiVA.org:liu-125092DiVA: diva2:902908
Conference
4th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO), September 27-October 1, Budapest, Hungaria
Available from: 2016-02-12 Created: 2016-02-12 Last updated: 2016-02-22Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Ribeiro, Luis
Other Engineering and Technologies not elsewhere specified

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 235 hits
ReferencesLink to record
Permanent link

Direct link